Hunt Attract LLC
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ABSTRACT:
PROVIDER: PRJNA1097338 | ENA |
REPOSITORIES: ENA
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Project description:The development of affinity purification technologies together with mass spectrometric analyses of the purified protein mixtures (AP-MS) has been used both to identify new protein-protein interactions and to define the subunit composition of protein complexes. Transcription factor protein interactions, however, have not been systematically analyzed using these approaches. Here, we have investigated whether ectopic expression of an affinity tagged transcription factor as bait in AP-MS experiments perturbs gene expression in cells resulting in false positive identification of bait associated proteins when typical experimental controls are used. Using quantitative proteomics and RNA-Seq, we determined that the increase in the abundance of a set of proteins caused by overexpression of the transcription factor RelA is not sufficient for these proteins to then copurify non-specifically and be misidentified as bait associated proteins. Therefore typical controls should be sufficient and a number of different baits can be compared with a common set of controls. This is of practical interest when identifying bait interactors from a large number of different baits. As expected, we found several known RelA interactors enriched in our RelA purifications (NFêB1, NFêB2, Rel, RelB, IêBá, IêBâ and IêBå). We also found several proteins not previously described in association with RelA, including the small mitochondrial chaperone Tim13. Using a variety of biochemical approaches, we further investigated the nature of the association between Tim13 and NFêB family transcription factors. The work here therefore provides a conceptual and experimental framework for analyzing transcription faction protein interactions. Gene expression profiles were assayed in triplicate from HEK293 cells expressing either Halo-RelA, Halo-NFkB1, or Halo tag alone.
2014-04-24 | E-GEOD-57027 | biostudies-arrayexpress
Project description:The development of affinity purification technologies together with mass spectrometric analyses of the purified protein mixtures (AP-MS) has been used both to identify new protein-protein interactions and to define the subunit composition of protein complexes. Transcription factor protein interactions, however, have not been systematically analyzed using these approaches. Here, we have investigated whether ectopic expression of an affinity tagged transcription factor as bait in AP-MS experiments perturbs gene expression in cells resulting in false positive identification of bait associated proteins when typical experimental controls are used. Using quantitative proteomics and RNA-Seq, we determined that the increase in the abundance of a set of proteins caused by overexpression of the transcription factor RelA is not sufficient for these proteins to then copurify non-specifically and be misidentified as bait associated proteins. Therefore typical controls should be sufficient and a number of different baits can be compared with a common set of controls. This is of practical interest when identifying bait interactors from a large number of different baits. As expected, we found several known RelA interactors enriched in our RelA purifications (NFêB1, NFêB2, Rel, RelB, IêBá, IêBâ and IêBå). We also found several proteins not previously described in association with RelA, including the small mitochondrial chaperone Tim13. Using a variety of biochemical approaches, we further investigated the nature of the association between Tim13 and NFêB family transcription factors. The work here therefore provides a conceptual and experimental framework for analyzing transcription faction protein interactions.
2014-04-24 | GSE57027 | GEO
Project description:We identified robust cleavage by non-canonically-targeted SpCas9 that target protospacer with a few bases from the canonical NGG PAM in biochemistry assay. To determine whether this spaced SpCas9 cleavage exists in human cells, we employed high-throughput genome-wide translocation sequencing (LAM-HTGTS) using SpCas9 with three independent canonical sgRNAs served as bait (bait-A, bait-L and bait-D) to compared the cleavage activities of canonically-targeted and non-canonically-targeted SpCas9 in eight locus (RAG1B-D, RAG1K-O) in chromosome 11. We found that almost all 1bp-target shifted SpCas9 generated substantial DSBs as the canonical controls. While detected less frequently, 2bp-targeted shifted SpCas9 generated significant amounts of DSBs in RAG1D and RAG1L locus. These findings underscore the spaced PAM-mediated DSBs occurred in living cells.
2022-02-28 | GSE192459 | GEO
Project description:Proteomic investigations of spermatozoa provide practical tools for distinguishing normal, functional spermatozoa from abnormal spermatozoa. Indeed, two-dimensional gel electrophoresis (2-DE) coupled with mass spectrometry (MS) applies high-throughput industrial applications to identify sperm-specific proteins indicative of chemical exposure. As such, a direct comparison of protein expression profiles between control and exposed cells returned a set of protein markers. Because mature mammalian spermatozoa are virtually incapable of protein synthesis, the predicted protein biomarkers in spermatozoa offer considerable stability for use in clinical application. In the current study, we applied 2-DE coupled with ESI-MS/MS to investigate the modified protein profile in F1 capacitated spermatozoa due to gestational bisphenol-A (BPA) exposure to ascertain whether these proteomic modifications could explain the observed functional alterations in spermatozoa.
2018-01-02 | PXD006829 | Pride
Project description:Using mass-spectrometry, we are seeking to determine the extent of methylation of EZH2 K510, K514 and K515 in the above mentioned recombinant PRC2 variants, answering the question whether recombinant mutant PRC2 is automethylated to the same or similar extent as the wt PRC2 complex.
2024-09-11 | PXD051876 | Pride
Project description:The heterogeneous nature of tumors presents a considerable obstacle in addressing imatinib resistance in advanced cases of gastrointestinal stromal tumors (GIST). To address this issue, we conducted single-cell RNA-sequencing in primary tumors as well as peritoneal and liver metastases from patients diagnosed with locally advanced or advanced GIST. Single-cell transcriptomic signatures of tumor microenvironment (TME) were analyzed. This analysis revealed unique tumor evolutionary patterns, transcriptome features, dynamic cell-state changes, and different metabolic reprogramming.
2024-03-13 | GSE254762 | GEO
Project description:Universal proteomics sample preparation is challenging due to the high heterogeneity of biological samples. Here we describe a novel mechanism that exploits the inherent instability of denatured proteins for non-specific immobilization on microparticles by protein aggregation capture. To demonstrate the general applicability of this mechanism, we analyzed phosphoproteomes, tissue proteomes, and interaction proteomes as well as dilute secretomes. The findings presents a practical, sensitive and cost-effective proteomics sample preparation method.
2019-03-05 | PXD011677 | Pride
Project description:Maladaptive reward seeking is a hallmark of cocaine use disorder. To develop therapeutic targets, it is critical to understand the neurobiological changes specific to cocaine-seeking without altering the seeking of natural rewards, e.g., sucrose. The prefrontal cortex (PFC) and the nucleus accumbens core (NAcore) are known regions associated with cocaine- and sucrose-seeking ensembles, i.e., a sparse population of co-activated neurons. Within ensembles, transcriptomic alterations in the PFC and NAcore underlie the learning and persistence of cocaine- and sucrose-seeking behavior. However, transcriptomes exclusively driving cocaine seeking independent from sucrose seeking have not yet been defined using a within-subject approach. Using Ai14:cFos-TRAP2 transgenic mice in a dual cocaine and sucrose self-administration model, we fluorescently sorted (FACS) and characterized (RNAseq) the transcriptomes defining cocaine- and sucrose-seeking ensembles. We found reward- and region-specific transcriptomic changes that will help develop clinically relevant genetic approaches to decrease cocaine-seeking behavior without altering non-drug reward-based positive reinforcement.
2023-11-08 | GSE247029 | GEO
Project description:Effect of mutations in datA, hda, and seqA on DNA replication, particularly initiation, in Escherichia coli. Initially, hybridizations were done using reference DNA from stationary phase cells, but because the question we were addressing was whether the mutants differed from wild-type in initiation rate, we performed subsequent experiments (all others) using reference DNA from wild-type exponentially growing cells to reduce signal variability.
2006-01-01 | E-MEXP-267 | biostudies-arrayexpress
Project description:4C-Seq has proven to be a powerful technique to identify genome-wide interactions with a single locus of interest (or "bait") that can be important for gene regulation. However, analysis of 4C-Seq data is complicated by the many biases inherent to the technique. An important consideration when dealing with 4C-Seq data is the differences in resolution of signal across the genome that result from differences in 3D distance separation from the bait. This leads to the highest signal in the region immediately surrounding the bait and increasingly lower signals in far-cis and trans. Another important aspect of 4C-Seq experiments is the resolution, which is greatly influenced by the choice of restriction enzyme and the frequency at which it can cut the genome. Thus, it is important that a 4C-Seq analysis method is flexible enough to analyze data generated using different enzymes and to identify interactions across the entire genome. Current methods for 4C-Seq analysis only identify interactions in regions near the bait or in regions located in far-cis and trans, but no method comprehensively analyzes 4C signals of different length scales. In addition, some methods also fail in experiments where chromatin fragments are generated using frequent cutter restriction enzymes. Here, we describe 4C-ker, a Hidden-Markov Model based pipeline that identifies regions throughout the genome that interact with the 4C bait locus. In addition, we incorporate methods for the identification of differential interactions in multiple 4C-seq datasets collected from different genotypes or experimental conditions. Adaptive window sizes are used to correct for differences in signal coverage in near-bait regions, far-cis and trans chromosomes. Using several datasets, we demonstrate that 4C-ker outperforms all existing 4C-Seq pipelines in its ability to reproducibly identify interaction domains at all genomic ranges with different resolution enzymes. 4C-Seq experiments from Igh and Cd83 bait in activated B cells and Tcrb (Eb) bait in double negative T cells and immature B cells. RNA-Seq and ATAC-Seq experiments in DN and Immature B cells.
2016-02-27 | E-GEOD-77645 | biostudies-arrayexpress